Research data - It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing

Datacite citation style:
Agahari, Wirawan; Ofe, Hosea; de Reuver, Mark (2023): Research data - It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20406330.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version: version 2 - 2023-04-24 (latest)
version 1 - 2023-04-11

This dataset is a supplementary document to the article entitled "It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing." It is also a supplementary document for Chapter 4 of the dissertation entitled "The impact of Multi-Party Computation on data sharing decisions in data marketplaces: insights from businesses and consumers". The data was collected through semi-structured interviews conducted in June-October 2020. Further details are provided in the article.

History

  • 2023-04-11 first online, published, posted

Publisher

4TU.ResearchData

Funding

  • Safe Data Enabled Economic Development (grant code 825225) [more info...] European Commission

Organizations

TU Delft, Faculty of Technology, Policy, and Management, Department of Engineering Systems and Services, Section Information and Communication Technology

DATA

Files (2)